Teaching statistics using baseball
by Albert, Jim
"A collection of case studies and exercises applying statistical and probabilistic thinking to the game of baseball. Baseball is the most statistical of all sports, since players are identified and evaluated by their hitting and pitching statistics. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics…
Read More ↓Title Statements
- Full title :Teaching statistics using baseball / Jim Albert, Bowling Green State University.
Summary
"A collection of case studies and exercises applying statistical and probabilistic thinking to the game of baseball. Baseball is the most statistical of all sports, since players are identified and evaluated by their hitting and pitching statistics. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players and teams. Students often have difficulty learning statistical ideas since they are explained using examples that are foreign to the students. The idea of the book is to describe statistical thinking in a context (that is, baseball) that will be familiar and interesting to students."--Provided by publisher.
Read More ↓Edition Statements
- Publication Date:©2017
- Edition:Second edition
Publication Statements
- Publisher(s):The Mathematical Association of America
- Place of Publication:Washington, DC
- Language:eng
- Publication Date:©2017
The Physical Object
- Description:xi, 243 pages : : illustrations, charts ; : 26 cm.
Edition Identifiers
- ISBN:9781939512161, 1939512166
- oclc:ocn975186694
- LC Classification:QA276.18
- Dewey Decimal:519.5
Table of Contents
An introduction to baseball statistics -- Exploring a single batch of baseball data -- Comparing batches and standardization -- Relationships between measurement variables -- Introduction to probability using tabletop games -- Probability distributions and baseball -- Introduction to statistical inference -- Topics in statistical inference -- Modeling baseball using a Markov chain -- An introduction to baseball.
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